Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Washington
- Oak Ridge National Laboratory
- University of Colorado
- The University of Chicago
- Cornell University
- George Mason University
- Nature Careers
- The California State University
- University of California
- University of Utah
- Wayne State University
- Argonne
- Auburn University
- California State University, Fresno
- Florida International University
- HHMI
- Harvard University
- Lawrence Berkeley National Laboratory
- NIST
- National Renewable Energy Laboratory NREL
- Northeastern University
- Rutgers University
- State University of New York University at Albany
- University of California Merced
- University of California, San Francisco
- University of Dayton
- University of Delaware
- University of Louisville
- University of Maine
- University of Pennsylvania
- University of Texas at Dallas
- 21 more »
- « less
-
Field
-
of cluster and job/resource management software (e.g., Warewulf, Slurm, XCat) Parallel and distributed file system (Lustre) experience is a plus Experience with the installation, configuration and
-
images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
-
State University of New York University at Albany | Albany, New York | United States | about 14 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
-
software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities demonstrated through
-
unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
-
including workload schedulers, storage systems, and distributed compute nodes. Applies analytical methods to evaluate system performance, identify bottlenecks, and implement corrective actions to improve
-
Program Director and distribute updated program policies · Plan, coordinate, order, obtain for new fellows; I9 compliance documentation; ID badges, Badge access, and parking at all training sites
-
). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative AI methods as
-
of computational computing clusters including, but not limited to GPU clusters, General HPC clusters, and SMP environments. Experience with Centos or similar Linux distributions. Experience with programming jobs
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse